CN114139864A - Subway engineering environment risk identification method, device, equipment and readable storage medium - Google Patents

Abstract

The invention provides a subway construction environment risk identification method, a device, equipment and a readable storage medium, which relate to the technical field of subway construction risk identification and comprise the steps of obtaining first information, wherein the first information comprises an environment object set and a subway structure model of subway engineering, and the environment object set comprises at least one environment subset; establishing a collision model according to the first information, and solving the collision model to obtain a collision result, wherein the collision result comprises a collision set corresponding to each sub-model; according to the invention, the number, the risk grade and the position of the risk point of the environmental risk are rapidly and automatically judged through the subway structure model and the surrounding environment objects, and the risk engineering design efficiency of a structure designer can be improved in the links of complex crossing conditions and construction method comparison and selection compared with the prior art.

Description

Subway engineering environment risk identification method, device, equipment and readable storage medium

Technical Field

The invention relates to the technical field of subway construction risk identification, in particular to a subway engineering environment risk identification method, device, equipment and readable storage medium.

Background

According to the urban rail transit civil engineering design safety risk assessment standard released in Beijing City, the safety risks of rail transit engineering include engineering risks and environmental risks. And (4) environmental risks, namely risks that environmental safety is influenced or damaged due to engineering construction. In the design stage, the surrounding environment is classified, engineering risks and environmental risks are identified and analyzed, and design measures for risk control are taken by analyzing the importance and safety features of the surrounding environment. However, the rule of risk level discrimination is not intuitive, the indexes are not quantized enough, and the decision depends on intuition based on knowledge and experience, thereby bringing trouble to the risk level discrimination work.

Disclosure of Invention

The invention aims to provide a subway engineering environment risk identification method, a device, equipment and a readable storage medium, so as to improve the problems. In order to achieve the purpose, the technical scheme adopted by the invention is as follows:

in a first aspect, the application provides a method for identifying environmental risks of subway engineering, including: acquiring first information, wherein the first information comprises an environment object set and a subway structure model of a subway project, the environment object set comprises at least one environment subset, each environment subset comprises a category corresponding to an environment object, a sequence number corresponding to the environment object, horizontal distance information of the environment object and the subway structure model and an environment object model, the environment object is a building, a pipeline, a river or a lake along the subway project, the subway structure model comprises at least one sub-model, and each sub-model comprises attribute information of a construction method; establishing a collision model according to the first information, and solving the collision model to obtain a collision result, wherein the collision result comprises a collision set corresponding to each sub-model, the collision set comprises at least one collision subset, and the collision subset comprises information of the category of one environmental object, the sequence number corresponding to the environmental object, the construction method information and the number of at least one collision area; and searching in a preset collision risk library according to the collision result to obtain the risk grade corresponding to each environmental object.

Further, the establishing a collision model according to the first information, and solving the collision model to obtain a collision result, where the collision result includes an environment collision region set corresponding to each sub-model, and includes: combining an environment object model on the basis of the submodel according to the horizontal distance information of the environment object and the submodel in the environment subset to obtain a discrimination model; dividing the discrimination model according to a preset classification formula to obtain at least three first partitions and a corresponding number of each partition, and recording the first partition containing the environmental object as a collision area; extracting corresponding construction method information of the sub-model and recording the construction method information as a collision subset; extracting the number corresponding to the collision area, and adding the number into a collision subset; and extracting the category corresponding to the environment object and the sequence number corresponding to the environment object, and adding the category and the sequence number to the collision subset.

Further, the dividing the discriminant model according to a preset classification formula to obtain at least three first partitions and a number corresponding to each partition includes: extracting the construction method information in the sub-model attribute, wherein the construction method information comprises a shield method; and if the construction method information in the sub-model attribute is a shield method, dividing the surrounding area of the sub-model according to a first preset formula set to obtain twelve first partitions and the number corresponding to each first partition.

Further, the searching in a preset collision risk library according to the collision result to obtain a risk level corresponding to each environmental object includes: identifying and obtaining a risk grade corresponding to the collision area in the preset collision risk library one by one according to the category of the environment object in a collision subset, the construction method information and the collision area number, and recording the risk grade corresponding to each environment object in the collision subset as an original risk set; and recording the maximum risk level in the original risk set as the risk level corresponding to the environment object.

In a second aspect, the present application further provides a subway engineering environment risk identification device, including: the system comprises a first obtaining unit, a collision unit and a data query unit, wherein the first obtaining unit is used for obtaining first information, the first information comprises an environment object set and a subway structure model of subway engineering, the environment object set comprises at least one environment subset, each environment subset comprises a category corresponding to an environment object, a sequence number corresponding to the environment object, horizontal distance information of the environment object and the subway structure model and an environment object model, the environment object is a building, a river or a lake along the subway engineering, the subway structure model comprises at least one subway model, and each submodel comprises attribute information of a construction method; the collision unit is used for establishing a collision model according to the first information and solving the collision model to obtain a collision result, wherein the collision result comprises a collision set corresponding to each sub-model, the collision set comprises at least one collision subset, and the collision subset comprises information of the category of one environment object, the sequence number corresponding to the environment object, the construction method information and the number of at least one collision area; and the data query unit is used for searching in a preset collision risk library according to the collision result to obtain the risk grade corresponding to each environmental object.

Further, the collision cell includes: the generating unit is used for combining an environment object model on the basis of the submodel according to the horizontal distance information of the environment object and the submodel in the environment subset to obtain a judgment model; the dividing unit is used for dividing the discrimination model according to a preset classification formula to obtain at least three first partitions and the number corresponding to each partition, and recording the first partition containing the environmental object as a collision area; the first extraction unit is used for extracting the corresponding construction method information of the sub-model and recording the construction method information as a collision subset; the second extraction unit is used for extracting the number corresponding to the collision area and adding the number into the collision subset; and the third extraction unit is used for extracting the category corresponding to the environment object and the sequence number corresponding to the environment object and adding the category and the sequence number to the collision subset.

Further, the dividing unit includes: the first judging unit is used for extracting the construction method information in the sub-model attributes, and the construction method information comprises a shield method; and the first subunit is used for dividing the area around the submodel according to a first preset formula set to obtain twelve first partitions and the number corresponding to each first partition if the construction method information in the submodel attribute is a shield method.

Further, the data query unit further includes: the traversing unit is used for identifying and obtaining a risk grade corresponding to the collision area in the preset collision risk library one by one according to the category of the environment object, the construction method information and the collision area number in a collision subset, and recording the risk grade corresponding to each environment object in the collision subset as an original risk set; and the marking unit is used for recording the maximum risk level in the original risk set as the risk level corresponding to the environment object.

In a third aspect, the present application further provides a subway engineering environment risk identification device, including:

a memory for storing a computer program;

and the processor is used for realizing the steps of the subway engineering environment risk identification method when the computer program is executed.

In a fourth aspect, the present application further provides a readable storage medium, where a computer program is stored, and when the computer program is executed by a processor, the steps of the method for identifying risks based on the environment of subway engineering are implemented.

The invention has the beneficial effects that:

according to the method, through the created environment object and the subway structure model, aiming at different construction method quantitative partitions, compared with the prior art, the decision is dependent on an intuitive mode based on knowledge and experience, the trouble of risk grade judgment work is reduced, the quantity, the risk grade and the position of a risk point of the environment risk can be quickly and automatically judged, and particularly, the risk engineering special design work of a structure designer can be greatly improved under complex crossing conditions and construction method ratio links.

Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by the practice of the embodiments of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained according to the drawings without inventive efforts.

Fig. 1 is a schematic flow chart of a subway engineering environment risk identification method according to an embodiment of the present invention;

FIG. 2 is a schematic diagram of tunnel division in shield construction;

FIG. 3 is a schematic diagram of the division of a tunnel in a mining method;

FIG. 4 is a schematic diagram of station division in underground excavation construction;

FIG. 5 is a schematic diagram of station division in open cut method construction;

FIG. 6 is a schematic structural diagram of a subway engineering environment risk identification apparatus according to an embodiment of the present invention;

fig. 7 is a schematic structural diagram of an environmental risk identification device for subway engineering according to an embodiment of the present invention.

Detailed Description

In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. The components of embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the present invention, presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.

It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures. Meanwhile, in the description of the present invention, the terms "first", "second", and the like are used only for distinguishing the description, and are not to be construed as indicating or implying relative importance.

According to the urban rail transit civil engineering design safety risk assessment standard released in Beijing City, the safety risks of rail transit engineering include engineering risks and environmental risks. The engineering risk is the risk that the safety of the engineering structure is influenced or engineering risk events occur due to the characteristics of the engineering structure, the complexity of geological conditions or the engineering construction. And (4) environmental risks, namely risks that environmental safety is influenced or damaged due to engineering construction. The safety risks of rail traffic engineering are related to the form of the building, the construction technology, the geological conditions and the surrounding environment, etc. The urban rail transit safety risk management and control runs through the whole engineering construction process. In the design stage, the surrounding environment is classified, engineering risks and environmental risks are identified and analyzed, and design measures for risk control are taken by analyzing the importance and safety features of the surrounding environment. And in the construction stage, dynamic management of safety risks is carried out through safety inspection and deformation monitoring.

The Beijing City track traffic design network as a whole combines more than 10 track traffic construction experiences in Beijing City and local standards in Beijing City, and provides a definite environmental risk classification method aiming at different environmental importance and track traffic proximity relation, namely the urban track traffic civil engineering design safety risk assessment standard, wherein 44 working conditions of 11 types of environment objects and 21 environment objects under 4 types of construction method conditions are divided. The method is characterized in that a risk classification schematic diagram is provided for each working condition, the construction affected area under the working condition is partitioned according to the approach relation, the risk grade of each partition is determined, and technical measures to be taken by different areas are specified, but when a designer identifies the environmental risk, the 44 different judgment rules need to be switched continuously, and the refined rules improve the design quality and bring the working difficulty of judgment of the environmental risk grade. Moreover, the risk discrimination work is more complicated when the environmental object is located in the cross-influence range of the double-hole tunnel. The prior art is not well suited for the above situations.

Example 1:

the embodiment provides a subway project environment risk identification method.

Before the embodiment is used, a preset collision risk library needs to be established, specifically, the preset collision risk library mentioned in the embodiment is obtained by modifying according to the "urban rail transit civil engineering design safety risk assessment standard" published in beijing city, and specific contents of the preset collision risk library are referred to an environmental risk level judgment rule base table in table 1.

Table 1 environmental risk level discrimination rule base table

Referring to fig. 1, the method is shown to include step S100, step S200 and step S300.

S100, first information is obtained, wherein the first information comprises an environment object set and a subway structure model of a subway project, the environment object set comprises at least one environment subset, each environment subset comprises a category corresponding to an environment object, a sequence number corresponding to the environment object, horizontal distance information of the environment object and the subway structure model and the environment object model, the environment object is a building, a pipeline, a river or a lake along the subway project, the subway structure model comprises at least one sub-model, and each sub-model comprises attribute information and pipeline sequence number information of a construction method.

It should be noted that the environmental object mentioned in this step is a building, a river or a lake along the subway, which has potential danger in subway engineering. In practical use, environmental objects within a range of 50-100m near the subway line are taken as considered objects. The specific range is selected according to the buried depth of the pipeline in the subway engineering, and the specific selection range is described later. The environment subsets mentioned in this step include the types corresponding to the environment objects, that is, the type information of the environment objects in the environment risk level judgment rule base table of table 1, and the serial numbers corresponding to the environment objects are the serial numbers determined by the constructors for the objects along the subway, so that the purpose of obtaining the subsequent judgment result can be achieved to conveniently generate a dangerous report, and the constructors can conveniently check the dangerous report. And the horizontal distance information of the environment object and the subway structure model has the function of correctly combining the environment object model with the subway structure model. The environment object model and the subway structure model are both models drawn according to objects, wherein the environment object model is independently manufactured according to each model in the actual construction environment, and each environment object model corresponds to a unique serial number so as to facilitate subsequent model loading. And sequentially connecting a plurality of submodels to form the whole submodel.

It should be noted that the BIM platform can be used in the method to implement the present embodiment.

S200, establishing a collision model according to the first information, solving the collision model to obtain a collision result, wherein the collision result comprises a collision set corresponding to each sub-model, the collision set comprises at least one collision subset, and the collision subset comprises the number of an environmental object, the serial number corresponding to the environmental object, construction method information and information of at least one collision area number.

S300, searching in a preset collision risk library according to a collision result to obtain a risk grade corresponding to each environment object.

According to the method, the risk level and the position of the risk point of the environmental object are quickly and automatically judged by constructing the collision model, and particularly, the special design work of the risk engineering of a structural designer can be greatly improved under the complex crossing condition and the construction method than the link selection, and a data basis is provided for BIM-based dynamic safety risk control in the construction stage.

Meanwhile, further, in some specific embodiments, the method includes:

and generating a risk list table according to the risk level corresponding to each environment object, wherein the risk list table comprises a risk list table which is arranged by taking the pipeline serial number of the sub-model as a group, and the environment objects with the sequentially increased risk levels are arranged in each pipeline serial number group. Through the mode, convenience of the technical personnel in the field for judging the danger is improved.

Further, in order to realize the identification of the collision region by the collision model, in the present embodiment, step S210, step S220, step S230, step S240, and step S250 are further included in S200.

And S210, combining the environment object models on the basis of the sub-models according to the horizontal distance information of the environment objects and the sub-models in the environment subsets to obtain a judgment model.

It should be noted that the discriminant model referred to in this step is a discriminant model finally formed by implanting an environmental object into a sub-model, wherein the calculation is performed on the BIM platform, which has the following advantages: (1) the method can be compatible with common software formats such as 3Dmax, Revit, Bentley and the like, analyzes and stores software formats for all model data, and analyzes and stores all model data; (2) has larger data bearing capacity. One rail transit line is dozens of kilometers long, and model data are huge; (3) the system has a spatial analysis function or the capability of analyzing an external collision report, and optimizes a collision detection algorithm to ensure the accuracy and high efficiency of environmental risk grade discrimination; (4) a list containing environment names, risk levels and construction methods can be output and submitted as a design result, and the three-dimensional model can be correlated and positioned; (5) the functional design of the BIM platform is required to meet the management requirement of risk control in the construction stage, and the utilization value of the model is further exerted. And integrating the project progress and risk monitoring data and carrying out three-dimensional risk management.

S220, dividing the discrimination model according to a preset classification formula to obtain at least three first partitions and the number corresponding to each partition, and recording the first partition containing the environmental object as a collision area.

And S230, extracting corresponding construction method information of the sub-models and recording the construction method information as a collision subset.

And S240, extracting the number corresponding to the collision area and adding the number into the collision subset.

And S250, extracting the category corresponding to the environment object and the sequence number corresponding to the environment object, and adding the category and the sequence number to the collision subset.

In the method, after the collision model is classified by a classification formula optimized compared with the prior art, the special safety risk design efficiency is improved under the complex crossing condition and the construction method compared with the link selection.

Further, in other embodiments, step S221 and step S222 are included in step S220 for the classification formula.

S221, extracting construction method information in the sub-model attributes, wherein the construction method information comprises a shield method.

S222, if the working method information in the sub-model attribute is a shield method, dividing the surrounding area of the sub-model according to a first preset formula set to obtain twelve first partitions and the number corresponding to each first partition.

Specifically, schematically illustrated in cross section, the first set of predetermined formulas in this step in conjunction with fig. 2 includes: on the cross section, constructing a first rectangular area with the lowest point of the subway structure model, wherein the number of the first rectangular area is 0101, the lowest point of the subway structure model is located at the midpoint of the long side, and the length of the long side is 3 × D (D is the designed outer diameter of the shield tunnel, and H in the following text is the depth of the lowest point of the subway structure model from the ground) and the length of the short side is D; the method comprises the steps that a first right-angle isosceles triangle area is established by taking the ground as the longest side, the first right-angle isosceles triangle area penetrates through the middle point of a subway structure model by using a perpendicular bisector of the side where the ground is located, the outline of the subway structure model is tangent to the oblique side of the first right-angle isosceles triangle area, the subway structure model divides the first right-angle isosceles triangle area into a first area and a second area, the maximum value of the ground clearance of the first area is smaller than the maximum value of the ground clearance of the second area, and the first area is a trapezoidal area with the short side concave; the extension line formed by vertically connecting two short sides of the first rectangular area with the ground is prolonged, the first area is divided into two right triangle areas and a third area, the two right triangles are respectively numbered 0111 and 0112, the extension line of the two short sides of the first rectangle respectively forms two quadrilateral areas with the long side of the first rectangle, the outline of the subway structure model and the first area, and the extension lines are respectively numbered 0102 and 0103; translating the extension lines of the two short sides of the first rectangular area by a distance of 0.3 x D respectively towards the subway structure model, dividing the third area into a fourth area and two right-angle trapezoidal areas, wherein the fourth area is positioned between the two right-angle trapezoidal areas, and the two right-angle trapezoidal areas are respectively numbered 0109 and 0110; dividing the fourth area into a fifth area and a sixth area from top to bottom horizontally by a distance (H-2 x D) from the ground; the fifth area is divided into three rectangular areas by respectively translating the extension lines of the two short sides of the first rectangular area to the subway structure model by a distance of 0.7 x D, and the three rectangular areas are numbered 0107, 0106 and 0108 from left to right in sequence; the distance from the ground (H-1.5X D) is used as a first horizontal line, two short side extension lines of a first rectangular area are translated to the subway structure model by 0.7X D to form two first vertical lines, one ends of the two first vertical lines are located at intersection points with the first horizontal line, the other ends of the two first vertical lines are located at intersection points with the first area outline, and the first horizontal line and the two first vertical lines are numbered 0104 and 0105 from inside to outside in two areas from inside to outside.

Through the division, the method can accurately divide the area near the shield method, provide a more accurate division mode and contribute to improving the final risk judgment result.

Further, in other embodiments, step S223 and step S224 are included in step S220 for the classification formula.

And S223, extracting construction method information in the sub-model attributes, wherein the construction method information comprises a mine method.

And S224, if the engineering method information in the sub-model attribute is a mining method, dividing the surrounding area of the sub-model according to a second preset formula set to obtain twelve second partitions and numbers corresponding to each second partition.

Specifically, schematically illustrated in cross section, the second set of preset formulas in this step in conjunction with fig. 3 includes: on the cross section, a second rectangular area is constructed by using the lowest point of the subway structure model, the number of the second rectangular area is 0201, the lowest point of the subway structure model is located at the midpoint of the long edge, and the length of the long edge is 3 × B (B is the designed width of the tunnel cave by the mining method, and H in the following text is the depth of the lowest point of the subway structure model from the ground) and the length of the short edge is D; the ground is used as the longest side to construct a second right-angle isosceles triangle area, the second right-angle isosceles triangle area passes through the middle point of a subway structure model by using a perpendicular bisector of the side where the ground is located, the outline of the subway structure model is tangent to the hypotenuse of the second equilateral triangle area, the subway structure model divides the second right-angle isosceles triangle area into a seventh area and an eighth area, the maximum value of the ground clearance depth of the seventh area is smaller than the maximum value of the ground clearance depth of the eighth area, the seventh area is a trapezoid with concave short sides, the extension lines of the two short sides of the second rectangular area are prolonged to be vertically connected with the ground, the first area is divided into two right-angle triangle areas and a ninth area, and the extension lines of the two short sides of the second rectangular area are respectively connected with the long sides of the second rectangular area, the outer contour of the subway structure model and the ninth area form two quadrilateral areas which are respectively numbered as 0202 and 0203; two right-angled triangle areas are divided from the first area, perpendicular lines are respectively made in the two right-angled triangle areas, the distances between the vertical legs and the nearest right-angled edge are all B, and the numbers of the vertical legs are 0211, 0209, 0210 and 0212 from left to right in sequence; dividing the ninth area into a tenth area and an eleventh area from top to bottom at a distance (H-2.5 x H) from the ground; dividing the tenth area into three rectangular areas by respectively translating the extension lines of the two short sides of the first rectangular area to the subway structure model by a distance of 0.5 × B, and sequentially numbering the areas as 0207, 0206 and 0208 from left to right; and taking the distance from the ground (H-1.7 x H) as a second horizontal line, respectively translating the two short side extension lines of the first rectangular area to the subway structure model by 0.5 x B to form two second vertical lines, wherein one ends of the two second vertical lines are positioned at the intersection points of the two second vertical lines and the first horizontal line, the other ends of the two second vertical lines are positioned at the intersection points of the first area outline, and the second horizontal line and the two second vertical lines are used for connecting the two areas from inside to outside and are numbered as 0204 and 0205 from inside to outside.

Through the division, the method can accurately divide the area near the mining method, provide a more accurate division mode and contribute to improving the final risk judgment result.

Further, in other embodiments, step S225 and step S226 are included in step S220 for the classification formula.

And S223, extracting construction method information in the sub-model attributes, wherein the construction method information comprises a subsurface excavation method.

S224, if the engineering information in the sub-model attribute is the undercut method, dividing the surrounding area of the sub-model according to a third preset formula set to obtain four third partitions and the number corresponding to each third partition.

Specifically, schematically illustrated in cross section, the dividing manner in the excavation method is left-right symmetric, only the left part and the right part illustrated in this embodiment are symmetric divisions of the left part, and with reference to fig. 4, the third preset formula set in this step includes: on the cross section, a first right-angle triangular area is constructed by taking the side wall of the tunnel formed by the underground excavation method as one side, the other right-angle side of the constructed first right-angle triangular area is superposed with the ground, the length of the right-angle side is H (H is the depth of the lowest point of the tunnel from the ground), and the top wall of the tunnel, the ground and the right-angle sides of the first right-angle triangular area which are formed by the underground excavation method are jointly encircled to form a rectangular area and are numbered 0301; making a third vertical line on the right-angle side where the ground is located, wherein the distance between the third vertical line and the side wall of the tunnel formed by the undercut method is 0.4 x H, the first right-angle triangle is divided into a right-angle triangle area and a right-angle trapezoid area by the third vertical line, and the number of the right-angle trapezoid area is 0302; and a fourth vertical line is made on the right-angle side of the ground, the distance between the fourth vertical line and the side wall of the tunnel formed by the underground excavation method is 0.6 x H, the right-angle triangular area is divided into a right-angle triangular area and a right-angle trapezoidal area by the third vertical line, the number of the right-angle trapezoidal area is 0303, and the number of the right-angle trapezoidal area is 0304, namely 0304, 0303, 0302 and 0301 are sequentially formed by the underground excavation method from left to right.

Through the division, the method can accurately divide the area near the undercut method, provide a more accurate division mode, and contribute to improving the final risk judgment result.

Further, in other embodiments, step S225 and step S226 are included in step S220 for the classification formula.

And S223, extracting construction method information in the sub-model attributes, wherein the construction method information comprises an open cut method.

And S224, if the engineering information in the sub-model attribute is the open cut method, dividing the surrounding area of the sub-model according to a fourth preset formula set to obtain three fourth partitions and the number corresponding to each fourth partition.

Specifically, the open cut method is schematically illustrated in a cross section, in the open cut method, the dividing manner is left-right symmetric, only the left part is illustrated in this embodiment, and the right part is symmetric dividing of the left part, and with reference to fig. 5, the fourth preset formula set in this step includes: on the cross section, a second right-angle triangular area is constructed by taking the side wall of the tunnel formed by an open cut method as one side, the other right-angle side of the constructed second right-angle triangular area is superposed with the ground, and the length of the right-angle side is H (H is the depth of the lowest point of the tunnel from the ground); making a fifth vertical line on the right-angle side where the ground is located, wherein the distance between the fifth vertical line and the side wall of the tunnel formed by the open cut method is 0.4 x H, the fifth vertical line divides the second right-angle triangle into a right-angle triangle area and a right-angle trapezoid area, and the number of the right-angle trapezoid area is 0302; and a sixth vertical line is made on the right-angle side of the ground, the distance between the sixth vertical line and the side wall of the tunnel formed by the open cut method is 0.6 x H, the right-angle triangular area is divided into a right-angle triangular area and a right-angle trapezoidal area by the sixth vertical line, the number of the right-angle trapezoidal area is 0303, and the number of the right-angle triangular area is 0304, namely 0303 and 0302 from left to right in sequence by the open cut method.

Through the division, the method can accurately divide the area near the open cut method, provide a more accurate division mode and contribute to improving the final risk judgment result.

Further, in other embodiments, step S300 includes step S310 and step S320.

S310, identifying and obtaining the risk grade corresponding to the collision area in a preset collision risk library one by one according to the category, the construction method information and the collision area number of the environment objects in the collision subset, and recording the risk grade corresponding to each environment object in the collision subset as an original risk set.

And S320, recording the maximum risk level in the original risk set as the risk level corresponding to the environment object.

According to the method, through the created surrounding environment and subway structure models, different construction method quantitative partitions are targeted, compared with the prior art, the decision is dependent on an intuitive mode based on knowledge and experience, the trouble of risk grade judgment work is reduced, the quantity, risk grade and risk point position of environment risks can be quickly and automatically judged, especially under complex crossing conditions and construction method ratio links, the risk engineering special design work of a structure designer can be greatly improved, and a data basis is provided for the dynamic control of safety risks in the construction stage.

Specifically, for those skilled in the art, a risk list of the subway project may also be directly generated on the basis of the method, where the risk list includes the risk level and the corresponding location of each environmental object.

Example 2:

as shown in fig. 6, the present embodiment provides a subway engineering environment risk identifying device, which includes:

the system comprises a first obtaining unit 1 and a second obtaining unit, wherein the first obtaining unit is used for obtaining first information, the first information comprises an environment object set and a subway structure model of the subway project, the environment object set comprises at least one environment subset, each environment subset comprises a category corresponding to an environment object, a sequence number corresponding to the environment object, horizontal distance information of the environment object and the subway structure model and the environment object model, the environment object is a building, a river or a lake along the subway project, the subway structure model comprises a subway model and at least one sub-model, and each sub-model comprises attribute information of a construction method.

And the collision unit 2 is used for establishing a collision model according to the first information, solving the collision model to obtain a collision result, wherein the collision result comprises a collision set corresponding to each sub-model, the collision set comprises at least one collision subset, and the collision subset comprises information of the category of one environment object, the sequence number corresponding to the environment object, construction method information and the number of at least one collision area.

And the data query unit 3 is used for searching in a preset collision risk library according to the collision result to obtain the risk grade corresponding to each environmental object.

In some particular embodiments, the collision cell 2 comprises:

and the generating unit 21 is used for combining the environment object models on the basis of the sub-models according to the horizontal distance information of the environment objects in the environment subset and the sub-models to obtain the discrimination models.

The dividing unit 22 is configured to divide the discriminant model according to a preset classification formula to obtain at least three first partitions and a number corresponding to each partition, and mark the first partition containing the environmental object as a collision region.

The first extraction unit 23 is configured to extract the corresponding construction method information of the sub-model, and record the construction method information as a collision subset.

And a second extracting unit 24 for extracting the collision region correspondence number and adding it to the collision subset.

And a third extracting unit 25, configured to extract the category corresponding to the environment object and the sequence number corresponding to the environment object, and add the category and the sequence number to the collision subset.

In some specific embodiments, the dividing unit 22 includes:

the first determining unit 221 is configured to extract construction method information in the sub-model attribute, where the construction method information includes a shield method.

The first subunit 222 is configured to, if the engineering information in the attribute of the sub-model is a shield method, divide the area around the sub-model according to a first preset formula set to obtain twelve first partitions and numbers corresponding to each first partition.

In some specific embodiments, the dividing unit 22 further includes:

the second determination unit 223 is configured to extract the construction method information in the sub-model attribute, where the construction method information includes a mining method.

A second subunit 224, configured to, if the engineering information in the sub-model attribute is a mining method, divide the area around the sub-model according to a second preset formula set to obtain twelve second partitions and numbers corresponding to each second partition

In some specific embodiments, the dividing unit 22 further includes:

and a third judging unit 225 for extracting construction method information from the sub-model attributes, wherein the construction method information includes a subsurface excavation method.

The third subunit 226 is configured to, if the engineering information in the sub-model attribute is an undercut method, divide the area around the sub-model according to a third preset formula set to obtain four third partitions and a number corresponding to each third partition.

In some specific embodiments, the dividing unit 22 further includes:

the fourth determining unit 227 is configured to extract the construction method information in the sub-model attribute, where the construction method information includes an open cut method.

A fourth subunit 228, configured to, if the engineering information in the sub-model attribute is an open cut method, divide the area around the sub-model according to a fourth preset formula set, to obtain three fourth partitions and a number corresponding to each fourth partition.

In some specific embodiments, the data querying unit 3 further includes:

and the traversing unit 31 is configured to identify and obtain a risk level corresponding to the collision region in a preset collision risk library one by one according to the category of the environment object in the collision subset, the construction method information, and a collision region number, and mark the risk level corresponding to each environment object in the collision subset as an original risk set.

And the marking unit 32 is configured to mark the maximum risk level in the original risk set as the risk level corresponding to the environmental object.

It should be noted that, regarding the apparatus in the above embodiment, the specific manner in which each module performs the operation has been described in detail in the embodiment related to the method, and will not be elaborated herein.

Example 3:

corresponding to the above method embodiment, this embodiment further provides a device for identifying a risk of a subway engineering environment, and a device for identifying a risk of a subway engineering environment described below and a method for identifying a risk of a subway engineering environment described above may be referred to each other.

Fig. 7 is a block diagram illustrating a subway project environmental risk identification apparatus 800 according to an exemplary embodiment. As shown in fig. 7, the subway engineering environment risk identification device 800 may include: a processor 801, a memory 802. The subway engineering environment risk identification device 800 may further comprise one or more of a multimedia component 803, an I/O interface 804, and a communication component 805.

The processor 801 is configured to control the overall operation of the subway engineering environment risk identification device 800, so as to complete all or part of the steps in the subway engineering environment risk identification method. The memory 802 is used to store various types of data to support the operation of the subway project environment risk identification device 800, which may include, for example, instructions for any application or method operating on the subway project environment risk identification device 800, as well as application-related data such as contact data, messages sent or received, pictures, audio, video, and the like. The Memory 802 may be implemented by any type of volatile or non-volatile Memory device or combination thereof, such as Static Random Access Memory (SRAM), Electrically Erasable Programmable Read-Only Memory (EEPROM), Erasable Programmable Read-Only Memory (EPROM), Programmable Read-Only Memory (PROM), Read-Only Memory (ROM), magnetic Memory, flash Memory, magnetic disk or optical disk. The multimedia components 803 may include screen and audio components. Wherein the screen may be, for example, a touch screen and the audio component is used for outputting and/or inputting audio signals. For example, the audio component may include a microphone for receiving external audio signals. The received audio signal may further be stored in the memory 802 or transmitted through the communication component 805. The audio assembly also includes at least one speaker for outputting audio signals. The I/O interface 804 provides an interface between the processor 801 and other interface modules, such as a keyboard, mouse, buttons, etc. These buttons may be virtual buttons or physical buttons. The communication component 805 is used for wired or wireless communication between the subway engineering environment risk identification device 800 and other devices. Wireless communication, such as Wi-Fi, bluetooth, Near Field Communication (NFC), 2G, 3G, or 4G, or a combination of one or more of them, so that the corresponding communication component 805 may include: Wi-Fi module, bluetooth module, NFC module.

In an exemplary embodiment, the metro engineering environment risk identification apparatus 800 may be implemented by one or more Application Specific Integrated Circuits (ASICs), Digital Signal Processors (DSPs), Digital Signal Processing Devices (DSPDs), Programmable Logic Devices (PLDs), Field Programmable Gate Arrays (FPGAs), controllers, microcontrollers, microprocessors or other electronic components for performing the metro engineering environment risk identification method.

In another exemplary embodiment, a computer readable storage medium including program instructions is further provided, which when executed by a processor, implement the steps of the subway engineering environment risk identification method described above. For example, the computer readable storage medium may be the above-mentioned memory 802 comprising program instructions which are executable by the processor 801 of the subway engineering environment risk identification apparatus 800 to perform the above-mentioned subway engineering environment risk identification method.

Example 4:

corresponding to the above method embodiment, a readable storage medium is also provided in this embodiment, and a readable storage medium described below and a method for identifying risk in a subway engineering environment described above may be referred to correspondingly.

A readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the steps of the subway engineering environment risk identification method according to the above-mentioned method embodiment.

The readable storage medium may be a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and various other readable storage media capable of storing program codes.

The above is only a preferred embodiment of the present invention, and is not intended to limit the present invention, and various modifications and changes will occur to those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present invention, and the changes or substitutions should be covered within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.

Claims (10)

1. A method for identifying environmental risks of subway engineering is characterized by comprising the following steps:

acquiring first information, wherein the first information comprises an environment object set and a subway structure model of a subway project, the environment object set comprises at least one environment subset, each environment subset comprises a category corresponding to an environment object, a sequence number corresponding to the environment object, horizontal distance information of the environment object and the subway structure model and an environment object model, the environment object is a building, a pipeline, a river or a lake along the subway project, the subway structure model comprises at least one sub-model, and each sub-model comprises attribute information of a construction method;

establishing a collision model according to the first information, and solving the collision model to obtain a collision result, wherein the collision result comprises a collision set corresponding to each sub-model, the collision set comprises at least one collision subset, and the collision subset comprises information of the category of one environmental object, the sequence number corresponding to the environmental object, the construction method information and the number of at least one collision area;

and searching in a preset collision risk library according to the collision result to obtain the risk grade corresponding to each environmental object.

2. A method as claimed in claim 1, wherein the step of establishing a collision model according to the first information, and solving the collision model to obtain a collision result, the collision result including an environmental collision region set corresponding to each sub-model includes:

combining an environment object model on the basis of the submodel according to the horizontal distance information of the environment object and the submodel in the environment subset to obtain a discrimination model;

dividing the discrimination model according to a preset classification formula to obtain at least three first partitions and a corresponding number of each partition, and recording the first partition containing the environmental object as a collision area;

extracting corresponding construction method information of the sub-model and recording the construction method information as a collision subset;

extracting the number corresponding to the collision area, and adding the number into a collision subset;

and extracting the category corresponding to the environment object and the sequence number corresponding to the environment object, and adding the category and the sequence number to the collision subset.

3. A method as claimed in claim 2, wherein the dividing the discriminant model according to a predetermined classification formula to obtain at least three first partitions and a number corresponding to each partition comprises:

extracting the construction method information in the sub-model attribute, wherein the construction method information comprises a shield method;

and if the construction method information in the sub-model attribute is a shield method, dividing the surrounding area of the sub-model according to a first preset formula set to obtain twelve first partitions and the number corresponding to each first partition.

4. A method for identifying environmental risks in subway engineering according to claim 1, wherein said finding in a preset collision risk library according to said collision result to obtain a risk level corresponding to each of said environmental objects comprises:

identifying and obtaining a risk grade corresponding to the collision area in the preset collision risk library one by one according to the category of the environment object in a collision subset, the construction method information and the collision area number, and recording the risk grade corresponding to each environment object in the collision subset as an original risk set;

and recording the maximum risk level in the original risk set as the risk level corresponding to the environment object.

5. A subway engineering environmental risk identification device, comprising:

the system comprises a first obtaining unit, a second obtaining unit and a third obtaining unit, wherein the first obtaining unit is used for obtaining first information, the first information comprises an environment object set and a subway structure model of the subway project, the environment object set comprises at least one environment subset, each environment subset comprises a category corresponding to an environment object, a sequence number corresponding to the environment object, horizontal distance information of the environment object and the subway structure model and an environment object model, the environment object is a building, a river or a lake along the subway project, the subway structure model comprises at least one sub-model, and each sub-model comprises attribute information of a construction method;

the collision unit is used for establishing a collision model according to the first information and solving the collision model to obtain a collision result, wherein the collision result comprises a collision set corresponding to each sub-model, the collision set comprises at least one collision subset, and the collision subset comprises information of the category of one environment object, the sequence number corresponding to the environment object, the construction method information and the number of at least one collision area;

and the data query unit is used for searching in a preset collision risk library according to the collision result to obtain the risk grade corresponding to each environmental object.

6. A subway engineering environment risk identification device as claimed in claim 5, wherein said collision unit comprises:

the generating unit is used for combining an environment object model on the basis of the submodel according to the horizontal distance information of the environment object and the submodel in the environment subset to obtain a judgment model;

the dividing unit is used for dividing the discrimination model according to a preset classification formula to obtain at least three first partitions and the number corresponding to each partition, and recording the first partition containing the environmental object as a collision area;

the first extraction unit is used for extracting the corresponding construction method information of the sub-model and recording the construction method information as a collision subset;

the second extraction unit is used for extracting the number corresponding to the collision area and adding the number into the collision subset;

and the third extraction unit is used for extracting the category corresponding to the environment object and the sequence number corresponding to the environment object and adding the category and the sequence number to the collision subset.

7. A subway engineering environment risk identification device as claimed in claim 6, wherein said dividing unit comprises:

the first judging unit is used for extracting the construction method information in the sub-model attributes, and the construction method information comprises a shield method;

and the first subunit is used for dividing the area around the submodel according to a first preset formula set to obtain twelve first partitions and the number corresponding to each first partition if the construction method information in the submodel attribute is a shield method.

8. A subway engineering environment risk identification device as claimed in claim 5, wherein said data query unit further comprises:

the traversing unit is used for identifying and obtaining a risk grade corresponding to the collision area in the preset collision risk library one by one according to the category of the environment object, the construction method information and the collision area number in a collision subset, and recording the risk grade corresponding to each environment object in the collision subset as an original risk set;

and the marking unit is used for recording the maximum risk level in the original risk set as the risk level corresponding to the environment object.

9. A subway engineering environmental risk identification apparatus, comprising:

a memory for storing a computer program;

a processor for implementing the steps of the subway engineering environment risk identification method as claimed in any one of claims 1 to 4 when executing said computer program.

10. A readable storage medium, characterized by: the readable storage medium has stored thereon a computer program which, when being executed by a processor, implements the steps of the subway engineering environment risk identification method as claimed in any one of claims 1 to 4.

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